Informazioni di Statistical Learning And High Dimensional Data | DidatticaWEB

Generali:

Dipartimento: Scienze Matematiche, Fisiche E Naturali
Settore Ministeriale: MAT/06
Codice di verbalizzazione: 8067158
Metodi di insegnamento: Frontale
Metodi di valutazione: Orale
Prerequisiti: Linear Algebra, Calculus 1 and 2, basic Probability and Statistics.
Obiettivi: LEARNING OUTCOMES: Concepts, tools, methods and fundamental results of statistical learning, with particular focus on the supervised case and problems in high dimensions. KNOWLEDGE AND UNDERSTANDING: Mathematical formalization of machine learning, fundamental methods, basic theoretical results, open problems and applications in high dimensions. APPLYING KNOWLEDGE AND UNDERSTANDING: Formalization and solution of real problems, typical statistical and computational problems in high dimensions. MAKING JUDGEMENTS: Evaluation of the most suitable models and methods for the practical resolution of problems, interpretation of the results.
Ricevimento: su appuntamento

Didattica:

A.A.: 2023/2024
Canale: UNICO
Crediti: 8
Obbligo di Frequenza: No

Classe virtuale:

Nome classe: VIGOGNA-8067158-STATISTICAL_LEARNING_AND_HIGH_DIMENSIONAL_DATA
Link Microsoft Teams: Link
Docente: VIGOGNA STEFANO